Elasticsearch · Artificial intelligence

What AI says about Elasticsearch in Artificial intelligence

227 mentions · 224 prompts · last seen Oct 10, 2026

Prompts in this category

What should I use for model serving with observability and logs?
Artificial Intelligence / AI Infrastructure1 observationUpdated Oct 10, 2026

Brands:Kserve,Bentoml,Ray Serve,Seldon Core,Prometheus

I'm building an internal AI platform for different teams; what should I use for access control and logs?
Artificial Intelligence / AI Infrastructure1 observationUpdated Oct 10, 2026

Brands:Okta,Azure Ad,Google Workspace,Ping,Auth0

How do I monitor spend by app or project for LLM usage?
Artificial Intelligence / AI Infrastructure1 observationUpdated Oct 10, 2026

Brands:Datadog,Grafana,Prometheus,Bigquery,Snowflake

What should I use to centralize AI gateway logs and analytics?
Artificial Intelligence / AI Infrastructure1 observationUpdated Oct 10, 2026

Brands:Opentelemetry,Grafana Loki,Elastic,Splunk,Datadog

How do I log every AI request and response for production auditing?
Artificial Intelligence / AI Infrastructure1 observationUpdated Oct 10, 2026

Brands:OpenAI,Elasticsearch,Opensearch,Splunk,Datadog

best way to index text embeddings with metadata filters
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Qdrant,Milvus,Elasticsearch

Need embedding model for multilingual semantic search
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Baai Bge M3,Intfloat Multilingual E5 Large,Sentence Transformers Paraphrase Multilingual Mpnet Base V2,Faiss,Milvus

I'm building semantic search over product docs and need advice on storage and indexing
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:S3,Gcs,Azure Blob,PostgreSQL,MongoDB

How do I search images using embeddings?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Faiss,Pinecone,Milvus,Weaviate,Pgvector

I’m trying to build semantic search over product docs and need a practical plan for chunking, indexing, and re-embedding over time
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Pgvector

How do I add semantic search to an existing app without rebuilding my whole stack?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Elasticsearch,Opensearch,Pinecone,Weaviate

I need advice on whether to use embeddings, full-text search, or both for a support knowledge base with multilingual content and strict lat…
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Opensearch,Postgres,Pinecone,Weaviate

semantic search api for documents
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Fastapi,Flask,Node Js,Pinecone

what is the best way to search embeddings with metadata
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Elasticsearch

Do I need a vector database or can I use a normal database?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Mysql,Sqlite,Elasticsearch,Opensearch

I’m unhappy with Weaviate setup complexity
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Weaviate,Pinecone,Qdrant Cloud,Weaviate Cloud,Postgres

I’m unhappy with Elasticsearch semantic search relevance
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch

Elasticsearch vs Pinecone for semantic search
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Pinecone,Elastic Cloud

need semantic search for documents with date filters
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Qdrant,Milvus,Chroma

need to store and query embeddings with tenant permissions
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Pgvector,Pinecone,Weaviate,Qdrant

need a vector database that supports hybrid search and metadata filters
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Weaviate,Pinecone,Qdrant,Milvus,Elasticsearch

need vector search with low latency and frequent updates
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Opensearch,Pinecone,Qdrant,Milvus

what should I use for a managed vector database vs self-hosted?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Pgvector,Opensearch,Elasticsearch,Pinecone

what should I use for deduplication with vector similarity?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Faiss,Hnswlib,Scann,Pinecone,Weaviate

vector search returns bad matches after re-embedding
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Faiss,Weaviate,Pgvector,Elasticsearch

I’m building a semantic search feature over internal docs; what’s the simplest architecture?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Google Drive,Sharepoint,Confluence,Notion,Pinecone

I’m building a document search app and need recommendations on embeddings models and vector storage
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Pinecone,Weaviate,Qdrant,Postgres

How do I combine embeddings with keyword search?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Opensearch

How do I add semantic similarity search to an existing app?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Sentence Transformers,Cohere,Vertex,Pinecone

How do I set up vector search for multilingual content?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Sentence Transformers,Cohere,Voyage,Jina

How do I build a vector search pipeline for support tickets?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Cohere,Sentence Transformers,E5,Bge

How do I search across text embeddings with metadata filters?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Pgvector

What’s the best setup for multilingual embeddings and semantic search across markets?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Cohere,Labse,Me5,Multilingual E5

How do I use embeddings for semantic search in a document app?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:PostgreSQL,Pgvector,Pinecone,Weaviate,Milvus

Help me choose a vector database for embeddings with metadata filtering and frequent updates
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Pgvector,Qdrant,Milvus,Pinecone

Weaviate is overkill for my embedding search use case
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Weaviate,Faiss,Pgvector,PostgreSQL,Qdrant

I’m unhappy with Elasticsearch semantic search quality
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch

I’m frustrated with Pinecone vector search costs
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Pgvector,Postgres,Qdrant,Weaviate

Elasticsearch vs MongoDB Atlas Vector Search for semantic retrieval
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Mongodb Atlas Vector Search,MongoDB

Why is my vector search slow after adding more embeddings?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Faiss,Pinecone,Milvus,Pgvector,Elasticsearch

Do I need a vector database for semantic search?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Sqlite,Opensearch,Elasticsearch,Mongodb Atlas Vector Search

What should I use to store embeddings for millions of chunks?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Qdrant,Milvus,PostgreSQL

vector search with metadata filter
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Elasticsearch

I'm building a vector index for millions of records, what architecture should I use
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Vespa

I'm building a product search app with vector embeddings and metadata filters
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Elasticsearch

How do I use embeddings for RAG retrieval over internal docs?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Qdrant,Milvus,Faiss

How do I embed audio files so I can search them later?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Faiss,Pinecone,Weaviate,Milvus

How do I generate embeddings from text documents for semantic search?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Faiss,Pinecone,Weaviate,Milvus

What should I use for permission-aware retrieval over internal documents?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Opensearch,Elasticsearch,Azure Ai Search,Google Vertex Ai Search,Agent Builder

What should I use for enterprise RAG: Pinecone, Elasticsearch, or Azure AI Search?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Elasticsearch,Azure Ai Search,Microsoft,Azure

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How did Obsurfable measure this?

Obsurfable records AI answers to buyer-style prompts in its research corpus (227 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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